Digital Solution Architect Sr. Advisor
Tasks
- Architect scalable data pipelines model training inference services orchestration
- Build PoCs prototypes reference implementations
- Conduct architecture reviews and performance benchmarking
- Conduct workshops to gather technical and functional requirements
- Create business value proposition for executives
- Create reference architectures and reusable design patterns
- Define technical architecture for availability performance security
- Design AI native product architecture
- Design cloud native containerized microservices architectures
- Develop and optimize APIs vector databases real time inference pipelines
- Develop point of views for scope due diligence approach cost benefit
- Ensure observability logging monitoring tracing
- Evaluate AI ML frameworks for product suitability
- Implement MLOps pipelines continuous integration delivery monitoring retraining
- Integrate cloud AI services
- Mentor engineers on AI native design best practices
- Optimize cost latency scalability for inference
- Respond to RFPs with solutions
- Select and integrate data platforms feature stores vector databases
- Translate requirements into architecture with product managers
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS SageMaker | Artificial Intelligence | Azure AI | Cloud Native | Cloud Native Architecture | Data Engineering | Distributed Systems | Feature Store | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Hugging Face | Inference Pipelines | Kubernetes | LLM | Langchain | Logging | MLOps | MLflow | Machine Learning | Microservices | Monitoring | Observability | PyTorch | Python | Ray | Serverless | TensorFlow | Tracing | Vector Databases | Vertex AI
Education
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